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Characterization of gasoline engine exhaust fumes using electronic nose based condition monitoring

§ LADOKE AKINTOLA UNIVERSITY OF TECHNOLOGY, OGBOMOS, N...

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Characterization of gasoline engine exhaust fumes using electronic nose based condition monitoring

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Abstract

An electronic nose-based condition monitoring of three automobile engines was conducted to obtain smell prints that correspond to normal operating conditions and various induced abnormal operating conditions. Fuzzy C-means clustering was used to ascertain the extent to which the smell prints can characterize faulty engine conditions. Silhouette diagrams and silhouette width figures were used to validate the clusters. Results obtained indicate that the smell prints do in general characterize the faults as most clusters have silhouette width greater than 0.5. In particular the results showed that the following automobile engine faults; plug-notfiring faults and loss of compression faults are diagnosable from the automobile exhaust fumes.

References

17 Cites in Article
  1. 1. T Massuyes,R Milne (1997). Gas-turbine condition monitoring using qualitative model based diagnosis. IEEE Expert, 12, 22-31.
  2. 2. R Beebe (2003). Condition monitoring of steam turbines by performance anal-ysis. Journal of Quality in Maintenance Engineering, 9(2), 102-112.
  3. 3. S Poyhonen,P Jover,H Hytyniemi (2004). Signal processing of vibrations for condition monitoring of an induction motor. Proc. of the 1st IEEE-EURASIP Int. Symp. on Control, Communications, and Signal Process-ing, 499-502.
  4. 4. J Twiddle (1999). Fuzzy model based fault diagnosis of a diesel engine cooling system. Fuzzy model based fault diagnosis of a diesel engine cooling system
  5. 5. A Agoston,C Otsch,B Jakoby (2005). Viscosity sensors for engine oil condi-tion monitoring: application and interpretation of results. Sensors and Actuators A, 121, 327-332.
  6. 6. Julian Gardner,Philip Bartlett (1999). Electronic Noses. Electronic Noses: Principles and Applications
  7. 7. Nidal Shilbayeh,Mahmoud Iskandara (2004). Quality Control of Coffee Using an Electronic Nose System. American Journal of Applied Sciences, 1(2), 129-135.
  8. 8. A Guadarrama,M Rodrı́guez-Méndez,J De Saja (2002). Conducting polymer-based array for the discrimination of odours from trim plastic materials used in automobiles. Analytica Chimica Acta, 455(1), 41-47.
  9. 9. G Huyberechts,P Szecowka,J Roggen,B Licznerski (1997). Simultaneous quantification of carbon monoxide and methane in humid air using a sensor array and an artificial neural network. Sensors and Actuators B, 45, 123-130.
  10. 10. Kelly Sepcic,Mira Josowicz,Jiri Janata,Ted Selby (2004). Diagnosis of used engine oil based on gas phase analysis. The Analyst, 129(11), 1070.
  11. 11. G Hunter,L Chung-Chiun,D Makel (2002). Microfabricated Chemical Sensors for Aerospace 𝑆𝑆 𝑗𝑗 = 1 𝑚𝑚 ∑ 𝑠𝑠(𝑢𝑢) 𝑚𝑚 𝑢𝑢=1 Applications. The MEMS Handbook, 22, 1-24.
  12. 12. P Bartlett,J Elliott,J Gardner (1997). Electronic noses and their applications in the food industry. Food Technology, 51(12), 44-48.
  13. 13. P Meille (1996). ‘Electronic noses’: Towards the objective instrumental characterization of food aroma. Trends in Food Science & Technology, 7(12), 432-438.
  14. 14. A Jain,M Murty,P Flynn (1999). Data clustering. ACM Computing Surveys, 31(3), 264-323.
  15. 15. A Izenman (2008). Modern Multivariate Statistical Techniques: Regres-sion, Classification, and Manifold Learning.
  16. 16. P Rousseeuw (1987). Silhouettes: A graphical aid to the and validation of cluster analysis. Journal of Computational and Applied Mathematics, 20, 53-65.
  17. 17. N Bolshakova,F Azuaje (2003). Cluster validation techniques for genome expression data. Signal Processing, 83(4), 825-833.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Dr. O.T. Arulogun. 2011. "Characterization of gasoline engine exhaust fumes using electronic nose based condition monitoring". Global Journal of Research in Engineering - D: Aerospace Science GJRE-D Volume 11 (GJRE Volume 11 Issue D5).

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Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

Keywords
Classification
GJRE-D Classification FOR Code: 090201
Version of record
v1.2

Issue date
September 7, 2011

Language
English
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Characterization of gasoline engine exhaust fumes using electronic nose based condition monitoring

Dr. Arulogun
Dr. Arulogun LADOKE AKINTOLA UNIVERSITY OF TECHNOLOGY, OGBOMOS, NIGERIA